---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: gradientai/Llama-3-8B-Instruct-262k
metrics:
- accuracy
model-index:
- name: th_cl_28epochs_lora_pos_neg
  results: []
---

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# th_cl_28epochs_lora_pos_neg

This model is a fine-tuned version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1198
- Balanced Accuracy: 0.5119
- Accuracy: 0.5111

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 0.4669        | 1.0   | 32   | 1.0226          | 0.515             | 0.5111   |
| 0.2575        | 2.0   | 64   | 1.0064          | 0.5395            | 0.5333   |
| 0.0998        | 3.0   | 96   | 0.9974          | 0.5744            | 0.5778   |
| 0.0339        | 4.0   | 128  | 1.1087          | 0.5741            | 0.5778   |
| 0.048         | 5.0   | 160  | 1.1198          | 0.5119            | 0.5111   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1